Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer

Abstract Comprehensive transcriptome expression analyses of bladder cancer revealed distinct lncRNA clusters with differential molecular and clinical characteristics. In this study, pivotal lncRNAs were assessed for their impact on survival and their differential expression between the molecular bla...

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Autores principales:	Sebastien Rinaldetti, Thomas Stefan Worst, Eugen Rempel, Maximilian C. Kriegmair, Arndt Hartmann, Stefan Porubsky, Christian Bolenz, Philipp Erben
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b06cda227a38426c96831ad2a46e9343
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spelling	oai:doaj.org-article:b06cda227a38426c96831ad2a46e93432021-12-02T15:10:19ZSubtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer10.1038/s41598-020-77252-22045-2322https://doaj.org/article/b06cda227a38426c96831ad2a46e93432020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77252-2https://doaj.org/toc/2045-2322Abstract Comprehensive transcriptome expression analyses of bladder cancer revealed distinct lncRNA clusters with differential molecular and clinical characteristics. In this study, pivotal lncRNAs were assessed for their impact on survival and their differential expression between the molecular bladder cancer subtypes. FFPE samples from chemotherapy-naïve patients with muscle invasive bladder cancer (MIBC) were analyzed on the Nanostring nCounter platform for absolute quantification. An established 36-gene panel was used for molecular subtype classification into basal, luminal and infiltrated MIBC. In a second step, 14 pivotal lncRNAs were assessed for their molecular subtype attribution, and their predictive value in disease-specific survival. In silico validation was performed on a total of 487 MIBC patients (MDA, TGCA and Chungbuk cohort). Several pivotal lncRNAs showed a distinct molecular subtype attribution: e.g. MALAT1 showed a downregulation in the basal subtype (p = 0.009), TUG1 and CBR3AS1 showed an upregulation in the luminal subtype (p ≤ 0.001). High transcript levels of SNHG16, CBR3AS1 and H19 appeared to be predictive for a shorter disease-specific survival. Patients overexpressing putative oncogenes MALAT1 and TUG1 in MIBC tissue presented prolonged survival, suggesting tumor suppressive effects of both lncRNAs. The Nanostring nCounter proved to be a valid platform for the quantification of low-abundance transcripts including lncRNAs.Sebastien RinaldettiThomas Stefan WorstEugen RempelMaximilian C. KriegmairArndt HartmannStefan PorubskyChristian BolenzPhilipp ErbenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sebastien Rinaldetti Thomas Stefan Worst Eugen Rempel Maximilian C. Kriegmair Arndt Hartmann Stefan Porubsky Christian Bolenz Philipp Erben Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
description	Abstract Comprehensive transcriptome expression analyses of bladder cancer revealed distinct lncRNA clusters with differential molecular and clinical characteristics. In this study, pivotal lncRNAs were assessed for their impact on survival and their differential expression between the molecular bladder cancer subtypes. FFPE samples from chemotherapy-naïve patients with muscle invasive bladder cancer (MIBC) were analyzed on the Nanostring nCounter platform for absolute quantification. An established 36-gene panel was used for molecular subtype classification into basal, luminal and infiltrated MIBC. In a second step, 14 pivotal lncRNAs were assessed for their molecular subtype attribution, and their predictive value in disease-specific survival. In silico validation was performed on a total of 487 MIBC patients (MDA, TGCA and Chungbuk cohort). Several pivotal lncRNAs showed a distinct molecular subtype attribution: e.g. MALAT1 showed a downregulation in the basal subtype (p = 0.009), TUG1 and CBR3AS1 showed an upregulation in the luminal subtype (p ≤ 0.001). High transcript levels of SNHG16, CBR3AS1 and H19 appeared to be predictive for a shorter disease-specific survival. Patients overexpressing putative oncogenes MALAT1 and TUG1 in MIBC tissue presented prolonged survival, suggesting tumor suppressive effects of both lncRNAs. The Nanostring nCounter proved to be a valid platform for the quantification of low-abundance transcripts including lncRNAs.
format	article
author	Sebastien Rinaldetti Thomas Stefan Worst Eugen Rempel Maximilian C. Kriegmair Arndt Hartmann Stefan Porubsky Christian Bolenz Philipp Erben
author_facet	Sebastien Rinaldetti Thomas Stefan Worst Eugen Rempel Maximilian C. Kriegmair Arndt Hartmann Stefan Porubsky Christian Bolenz Philipp Erben
author_sort	Sebastien Rinaldetti
title	Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
title_short	Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
title_full	Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
title_fullStr	Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
title_full_unstemmed	Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer
title_sort	subtype specific expression and survival prediction of pivotal lncrnas in muscle invasive bladder cancer
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b06cda227a38426c96831ad2a46e9343
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Subtype specific expression and survival prediction of pivotal lncRNAs in muscle invasive bladder cancer

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